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2017 Healthcare Predictions: Top 9 in Imaging

Although 2016 was a rather unpredictable year on some fronts, it’s safe to say that when it comes to healthcare, value-based care is here to stay. More than ever, we’ve seen our customers of all sizes look towards technological innovations that can support patient-care centered goals like reducing duplicate imaging, efficiently retrieving data, and reducing time-to-care delivery. As facilities continue to grow, expand their reach and participate in new programs like Cancer Moonshot, imaging data must be available when and where they need it. Will 2017 be the year that CDs are finally gone forever? Probably not, but we have a few other healthcare predictions for 2017 of what might unfold in medical imaging.

1.Enterprise Imaging is Deconstructed

In the world of value-based care, enterprise image management has boiled down to one critical item – we can’t duplicate medical imaging. As regional networks expand and facilities acquire new organizations, they’re increasing risks to both patients and providers when prior imaging can’t be easily accessed in a timely manner or when images live in multiple different systems. A single source of truth for imaging has to stop being elusive. We’ve seen many facilities turning towards cloud VNA (vendor neutral archiving) as a method of safely storing data that acts as a central repository for all imaging, so priors are easily exchanged using the cloud when needed, and all imaging across the health system is shared, regardless of where the imaging was done.

2. Cloud Comes of Age

It wasn’t too long ago that people were skeptical of the cloud, but today, over 83% of healthcare organizations are using cloud technology according to a HIMSS Analytics Cloud Survey. More than ever physicians are turning to the cloud when it comes to solving image management hurdles. A new report from MarketsandMarkets also estimates the healthcare cloud computing market will grow to $9.48 billion by 2020. The flexibility of cloud architecture makes it easy to bridge the gaps between the technologies that are already in use at an organization.

3. A New Frontier for Predictive Analysis & Machine Learning

There has been much talk of AI’s (artifical intelligence) potential to streamline read times and improve accuracy. Particularly, machine learning, a set of algorithms that can learn complex patterns and make predictions from data, has shown promise in radiology. However, predictive intelligence can also be leveraged to help with medical imaging data intake and management. With facilities expanding at unparalleled rates and bringing in new data through referral programs and second opinion portals, managing and matching data can become a nightmare. Predictive tools can and should ease these workflows to provide auto-matching of imaging with radiologic reports, PHI (personal health information) normalization to match up imaging with patient records, and more.

4. Consumerism in Healthcare Drives More Patient Control

As patients take on more financial responsibility for their healthcare, they seek facilities and providers that can maximize the value of their dollars. Facilities must understand imaging consumer preferences, which frequently include items like an image-enabled patient portal. However, few patient portals are image-enabled; only reports, not the images themselves are available. Particularly, if a patient suffers from a more serious prognosis that requires a larger care team or multiple opinions, carrying imaging from place-to-place is exhausting. Using cloud technology, facilities can empower patients with control over their own image data by eliminating CDs and image-enabling patient portals.

5. Value-Based Care Forces Broader Interoperability

Providers today are getting paid more if they can figure out how to avoid unnecessary medical imaging procedures. In fact, MACRA, Medicare Access and CHIP Reauthorization Act, contains 22 performance criteria for radiology, which includes interventional radiology and radiation oncology measures that affect both patient facing and non-patient facing radiologists. In light of the move to value-based care and other trends including consolidation of facilities and heightened patient consumerism, many facilities have moved towards the cloud to streamline image management and reduce duplicate imaging. In addition, interoperability networks and HIEs are all expanding beyond the EMR to include imaging for a complete patient picture.

6. Security Concern Stronger Than Ever, but Trust Starts to Build in SaaS

As the focus in healthcare shifts from fee-for-service, to value-based and collaborative care, the security model needs to change as well. There’s always been a fine line to balance between security and usability with the ultimate goal being to strike a balance between risk mitigation and utility. Why is this important? If information is too hard to share, users may seek out HIPAA–risky ways to do it on their own, which opens organizations up to potentially costly data loss and legal risks.

7. Cancer Moon-Shot Highlights Importance of Imaging Data

As of November 30, 2016 the Cancer Moonshot initiative received additional funding through the 21st Century Cures Act. Moonshot calls for the prevention and early diagnosis of cancer, which is frequently done through imaging exams. However, without previous imaging work, it is difficult to tell if abnormalities are the natural anatomy, or if they are stemming from another cause. Managing medical images in the cloud has been a key technological innovation for the storage of large imaging sets and easy access to patient priors through automated matching.

8. A Spotlight on Diversity in Radiology

In the American College of Radiology’s most recent annual Commission on Human Resources Workforce Survey, women were found to be less likely to pursue a career in radiology than men, with just 21% of practicing radiologists being women. In an interview by Aunt Minnie, Dr. Holly Jumper of the University of Arkansas for Medical Sciences discussed that mentorship was a key influencing factor for women choosing their medical speciality. That’s why organizations like Ambra Health are teaming up with leading providers to establish sponsors and mentor networks for women in radiology and informatics. Ambra Health CMO, Mini Peiris, and Dr. Geraldine McGinty, a practicing radiologist and thought leader in the imaging and informatics space, have together launched RADxx, aimed at encouraging networking and mentoring programs in radiology for women and men.

Catherine Slotnick is a passionate healthcare marketer with a deep interest in the latest & greatest in the Health IT space. As Ambra Health's senior marketing manager, Catherine primarily focuses on creating and sharing thought leadership content in the radiology and informatics space. Catherine graduated from the University of Virginia with a BA in Psychology & Art History. When she's not writing, she enjoys cooking and petting dogs that aren't hers.

2 comments on “2017 Healthcare Predictions: Top 9 in Imaging”

Interesting predictions! These health care innovations in imaging are not impossible to happen. With the advancements that technologies are bringing us, improvement in the accuracy of AI and all will sure to bring a better improvement in assisting to the concerns of patients. Also, more will feel secured because the security and safety of the systems will also improve.